Effects of Temperature During Package Transportation on Queen Establishment and Survival in Honey Bees (Hymenoptera: Apidae).

Honey bee (Apis mellifera) (Linnaeus) (Hymenoptera: Apidae) queens, the reproductive female caste, are crucial for colony success, and many management problems that beekeepers face are related to their diminished reproductive quality and premature failure. Previous research has suggested that temperature extremes may affect the viability of stored sperm in queens' spermathecae, thus the abiotic conditions of queens during transport may be germane to these problems. We recorded the temperatures experienced by queens during 2 yr of package transportation and tracked the newly installed colonies through establishment and buildup. During this critical 6-8 wk period, we observed typically high rates of queen failure (~25%) but found no indication that these postinstallation queen events were driven by temperature-related damage to stored sperm (an essential component of queen quality) incurred during transportation. We also found no indication of significant hot or cold zones across the truckloads of packages that would suggest a problem in how packages are insulated during transportation. However, we did observe significantly higher temperatures (31.2 vs. 29.9°C) and lower temperature variance (8.8 vs. 12.2) in queens that ultimately failed during the observation period, indicating that workers may respond differently to these queens in a way that manifests as more insulating clusters around queen cages. If so, then the collective process by which workers accept or reject a foreign queen may already be detectable even if it does not ultimately conclude until some weeks later. Nevertheless, it remains unclear why large numbers of otherwise high-quality queens are failing in newly installed packages.

Cryptic "royal" subfamilies in honey bee (Apis mellifera) colonies.

During emergency queen rearing, worker honey bees (Apis mellifera) select several otherwise worker-destined larvae to instead rear as candidates to replace their dead or failing queen. This choice is crucial as the queen is the sole reproductive in the colony and her quality is essential to its success. Because honey bee queens mate with and store sperm from multiple drones, emergency queen selection presents workers with an opportunity to increase fitness by selecting full- (0.75 relatedness), rather than half- (0.25 relatedness), sisters as new queen candidates. Through patriline analysis of colonies along with large numbers of emergency queens reared by each we affirm the purported "royal" patriline theory that, instead of competing nepotistically, workers exhibit bias towards selecting individuals from particular "royal" subfamilies during emergency queen rearing events, Further, we show that these "royal" patrilines are cryptic in honey bee colonies; occurring in such low frequency in the overall colony population that they are frequently undetected in traditional tests of queen mating number and colony composition. The identification of these cryptic "royal" subfamilies reveals that honey bee queens, already considered "hyperpolyandrous," are mating with even more males than has been previously recognized. These results alter our understanding of reproductive behavior in honey bees, raising questions about the evolutionary implications of this phenomenon.

Data publication with the structural biology data grid supports live analysis.

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.